<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>rootcoder007.r-universe.dev</title><link>https://rootcoder007.r-universe.dev</link><description>Recent package updates in rootcoder007</description><generator>R-universe</generator><image><url>https://github.com/rootcoder007.png</url><title>R packages by rootcoder007</title><link>https://rootcoder007.r-universe.dev</link></image><lastBuildDate>Tue, 23 Jun 2026 09:47:27 GMT</lastBuildDate><item><title>[rootcoder007] morie 0.9.5.12</title><author>hadesllm@proton.me (Vansh Singh Ruhela)</author><description>Multi-domain scientific computing toolkit for
observational inference and intervention analysis across
scientific-experimentation contexts, hosting the MRM
(Multilevel Reconciliation Methodology) framework for Canadian
carceral, police, and oversight data as its primary
application. Provides general-purpose causal estimators (ATE,
ATT, ATC, GATE, CATE, LATE, AIPW, G-computation), survey
sampling methods (stratified, cluster, PPS, bootstrap,
calibration weights), propensity-score and doubly-robust
estimators, and sensitivity analyses (E-value, Rosenbaum
bounds). Companion modules support signal processing and
spectral analysis, cryptographic primitives, spatial
statistics, statistical physics of crime (Hawkes self-exciting
processes, reaction-diffusion, Levy flight, urban scaling), and
classical-test-theory and item-response-theory psychometrics,
alongside ingestion utilities for officially published Ontario
Special Investigations Unit (police-oversight) and federal
Structured Intervention Unit reports.</description><link>https://github.com/r-universe/rootcoder007/actions/runs/28021526991</link><pubDate>Tue, 23 Jun 2026 09:47:27 GMT</pubDate><r:package>morie</r:package><r:version>0.9.5.12</r:version><r:status>success</r:status><r:repository>https://rootcoder007.r-universe.dev</r:repository><r:upstream>https://github.com/rootcoder007/morie</r:upstream><r:article><r:source>disparity-audit.Rmd</r:source><r:filename>disparity-audit.html</r:filename><r:title>Auditing a system for group disparity</r:title><r:created>2026-05-16 12:15:38</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article><r:article><r:source>causal-inference.Rmd</r:source><r:filename>causal-inference.html</r:filename><r:title>Causal inference with MORIE</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article><r:article><r:source>chi-square-and-anova.Rmd</r:source><r:filename>chi-square-and-anova.html</r:filename><r:title>Chi-square tests and one-way ANOVA</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article><r:article><r:source>cpads-canonicalization.Rmd</r:source><r:filename>cpads-canonicalization.html</r:filename><r:title>CPADS canonicalization and analysis</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article><r:article><r:source>dataset-catalog.Rmd</r:source><r:filename>dataset-catalog.html</r:filename><r:title>Dataset catalogue</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article><r:article><r:source>effect-sizes.Rmd</r:source><r:filename>effect-sizes.html</r:filename><r:title>Effect sizes and association measures</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article><r:article><r:source>intro.Rmd</r:source><r:filename>intro.html</r:filename><r:title>Getting started with MORIE in R</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-06-23 08:35:04</r:modified></r:article><r:article><r:source>ipw-deep-dive.Rmd</r:source><r:filename>ipw-deep-dive.html</r:filename><r:title>IPW deep-dive (Hajek and Horvitz--Thompson)</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article><r:article><r:source>mrm-dataset-fetchers.Rmd</r:source><r:filename>mrm-dataset-fetchers.html</r:filename><r:title>MRM dataset fetchers and bundled samples</r:title><r:created>2026-05-11 16:39:52</r:created><r:modified>2026-05-27 13:23:52</r:modified></r:article><r:article><r:source>mrm-empirical-callables.Rmd</r:source><r:filename>mrm-empirical-callables.html</r:filename><r:title>MRM empirical callables (OTIS / TPS / SIU)</r:title><r:created>2026-05-11 16:39:52</r:created><r:modified>2026-05-27 13:23:52</r:modified></r:article><r:article><r:source>mrm-otis-walkthrough.Rmd</r:source><r:filename>mrm-otis-walkthrough.html</r:filename><r:title>MRM walkthrough on OTIS provincial data</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-06-23 08:35:04</r:modified></r:article><r:article><r:source>signal-processing.Rmd</r:source><r:filename>signal-processing.html</r:filename><r:title>Signal processing primitives</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-05-11 07:25:54</r:modified></r:article><r:article><r:source>survey-weighted.Rmd</r:source><r:filename>survey-weighted.html</r:filename><r:title>Survey-weighted estimation with MORIE</r:title><r:created>2026-05-11 07:25:54</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article><r:article><r:source>siu-pipeline.Rmd</r:source><r:filename>siu-pipeline.html</r:filename><r:title>The SIU pipeline: fetch, parse, audit, translate</r:title><r:created>2026-05-21 10:52:55</r:created><r:modified>2026-05-21 10:52:55</r:modified></r:article></item><item><title>[rootcoder007] rmorie 0.9.5.12</title><author>hadesllm@proton.me (Vansh Singh Ruhela)</author><description>Multi-domain scientific computing toolkit for
observational inference and intervention analysis across
scientific-experimentation contexts, hosting the MRM
(Multilevel Reconciliation Methodology) framework for Canadian
carceral, police, and oversight data as its primary
application. Provides general-purpose causal estimators (ATE,
ATT, ATC, GATE, CATE, LATE, AIPW, G-computation), survey
sampling methods (stratified, cluster, PPS, bootstrap,
calibration weights), propensity-score and doubly-robust
estimators, and sensitivity analyses (E-value, Rosenbaum
bounds). Companion modules support signal processing and
spectral analysis, cryptographic primitives, spatial
statistics, statistical physics of crime (Hawkes self-exciting
processes, reaction-diffusion, Levy flight, urban scaling), and
classical-test-theory and item-response-theory psychometrics,
alongside ingestion utilities for officially published Ontario
Special Investigations Unit (police-oversight) and federal
Structured Intervention Unit reports.</description><link>https://github.com/r-universe/rootcoder007/actions/runs/28021534061</link><pubDate>Tue, 23 Jun 2026 09:44:28 GMT</pubDate><r:package>rmorie</r:package><r:version>0.9.5.12</r:version><r:status>success</r:status><r:repository>https://rootcoder007.r-universe.dev</r:repository><r:upstream>https://github.com/rootcoder007/rmorie</r:upstream><r:article><r:source>intro.Rmd</r:source><r:filename>intro.html</r:filename><r:title>Getting started with MORIE in R</r:title><r:created>2026-05-25 11:29:50</r:created><r:modified>2026-05-25 12:17:53</r:modified></r:article></item><item><title>[rootcoder007] rmoriedata 0.1.1</title><author>hadesllm@proton.me (Vansh Singh Ruhela)</author><description>Bundled open data fixtures used by the 'rmorie' package
for examples, vignettes, and tests. Split out so 'rmorie'
itself stays within CRAN's package-size soft cap. Contains
snapshots of publicly-available datasets from
CKAN/Socrata/Opendatasoft portals (Chicago, NYC, Toronto,
Vancouver, etc.), Statistics Canada CCJS tables, and synthetic
fixtures for unit tests. Also ships a small set of
analyst-facing helpers for releasing aggregate statistics
without re-identification risk: Laplace and Gaussian
differential privacy mechanisms and k-anonymity, l-diversity,
and cell suppression verifiers.</description><link>https://github.com/r-universe/rootcoder007/actions/runs/28021535257</link><pubDate>Wed, 27 May 2026 09:51:18 GMT</pubDate><r:package>rmoriedata</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://rootcoder007.r-universe.dev</r:repository><r:upstream>https://github.com/rootcoder007/rmoriedata</r:upstream></item></channel></rss>